Create README_zh.md

README_zh.md

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+---
+license: other
+---
+
+
+![Aquila_logo](./log.jpeg)
+
+
+<h4 align="center">
+    <p>
+        <b>English</b> |
+        <a href="https://huggingface.co/BAAI/AquilaChat2-7B/blob/main/README_zh.md">简体中文</a> 
+    </p>
+</h4>
+
+Aquila Language Model is the first open source language model that supports both Chinese and English knowledge, commercial license agreements, and compliance with domestic data regulations.
+
+- 🌟 **Supports open source commercial licenses**. The source code of the Aquila series models is based on the [Apache 2.0 agreement](https://www.apache.org/licenses/LICENSE-2.0), while the model weight is based on the [BAAI Aquila Model License Agreement](https://huggingface.co/BAAI/AquilaChat-7B/resolve/main/BAAI%20Aquila%20Model%20License%20Agreement.pdf). Users can use it for commercial purposes as long as they meet the licensing restrictions.
+
+- ✍️ **Possesses Chinese and English knowledge**. The Aquila series model is trained from scratch on a high-quality corpus of Chinese and English languages, with Chinese corpora accounting for about 40%, ensuring that the model accumulates native Chinese world knowledge during the pre-training phase, rather than translated knowledge.
+
+- 👮‍♀️ **Complies with domestic data regulations**. The Chinese corpora of the Aquila series models come from Intelligence Source's accumulated Chinese datasets over the years, including Chinese internet data from over 10,000 sources (more than 99% of which are domestic sources), as well as high-quality Chinese literature and book data supported by authoritative domestic organizations. We will continue to accumulate high-quality and diverse datasets and incorporate them into the subsequent training of the Aquila base models.
+
+- 🎯 **Continuous improvements and open sourcing**. We will continue to improve training data, optimize training methods, and enhance model performance, cultivate a flourishing "model tree" on a better base model foundation, and continuously update open-source versions.
+
+The additional details of the Aquila model will be presented in the official technical report. Please stay tuned for updates on official channels.
+
+## Chat Model Performance
+
+<br>
+<p align="center">
+    <img src="chat_metrics.jpeg" width="1024"/>
+<p>
+<br>
+
+## Quick Start  AquilaChat-7B（Chat model）
+
+### 1. Inference
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+device = torch.device("cuda")
+model_info = "BAAI/AquilaChat-7B"
+tokenizer = AutoTokenizer.from_pretrained(model_info, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(model_info, trust_remote_code=True)
+model.eval()
+model.to(device)
+text = "请给出10个要到北京旅游的理由。"
+tokens = tokenizer.encode_plus(text)['input_ids'][:-1]
+tokens = torch.tensor(tokens)[None,].to(device)
+stop_tokens = ["###", "[UNK]", "</s>"]
+with torch.no_grad():
+    out = model.generate(tokens, do_sample=True, max_length=512, eos_token_id=100007, bad_words_ids=[[tokenizer.encode(token)[0] for token in stop_tokens]])[0]
+    out = tokenizer.decode(out.cpu().numpy().tolist())
+    print(out)
+```
+
+
+## License
+
+AquilaChat-7B and AquilaChat-33B open-source model is licensed under [ BAAI Aquila Model Licence Agreement](https://huggingface.co/BAAI/AquilaChat-7B/resolve/main/BAAI%20Aquila%20Model%20License%20Agreement.pdf)